|
breseq version 0.32.1
mutation predictions | marginal predictions | summary statistics | genome diff | command line log |
| read file | reads | bases | passed filters | average | longest | mapped | |
|---|---|---|---|---|---|---|---|
| errors | AU1064.forward.trimmed.paired | 1,485,637 | 201,157,367 | 100.0% | 135.4 bases | 151 bases | 97.7% |
| errors | AU1064.reverse.trimmed.paired | 1,485,203 | 198,964,012 | 100.0% | 134.0 bases | 151 bases | 96.8% |
| total | 2,970,840 | 400,121,379 | 100.0% | 134.7 bases | 151 bases | 97.2% |
| seq id | length | fit mean | fit dispersion | % mapped reads | description | ||
|---|---|---|---|---|---|---|---|
| coverage | distribution | contig00001 | 318,930 | 53.7 | 5.6 | 4.3% | na |
| coverage | distribution | contig00002 | 275,319 | 48.4 | 4.3 | 3.5% | na |
| coverage | distribution | contig00003 | 261,219 | 50.3 | 5.0 | 3.4% | na |
| coverage | distribution | contig00004 | 252,231 | 53.1 | 5.4 | 3.5% | na |
| coverage | distribution | contig00005 | 241,072 | 52.7 | 4.5 | 3.3% | na |
| coverage | distribution | contig00006 | 240,180 | 50.4 | 5.0 | 3.1% | na |
| coverage | distribution | contig00007 | 238,018 | 54.1 | 5.0 | 3.3% | na |
| coverage | distribution | contig00008 | 219,575 | 55.9 | 5.7 | 3.2% | na |
| coverage | distribution | contig00009 | 197,432 | 55.9 | 6.0 | 2.8% | na |
| coverage | distribution | contig00010 | 185,361 | 55.5 | 5.3 | 2.6% | na |
| coverage | distribution | contig00011 | 185,173 | 57.0 | 5.3 | 2.7% | na |
| coverage | distribution | contig00012 | 182,169 | 65.1 | 6.7 | 3.1% | na |
| coverage | distribution | contig00013 | 164,728 | 48.8 | 3.7 | 2.1% | na |
| coverage | distribution | contig00014 | 160,584 | 60.4 | 5.6 | 2.6% | na |
| coverage | distribution | contig00015 | 156,343 | 59.7 | 5.2 | 2.4% | na |
| coverage | distribution | contig00016 | 147,287 | 49.4 | 4.8 | 1.9% | na |
| coverage | distribution | contig00017 | 145,625 | 54.0 | 5.3 | 2.0% | na |
| coverage | distribution | contig00018 | 136,195 | 50.7 | 4.9 | 1.8% | na |
| coverage | distribution | contig00019 | 134,180 | 59.3 | 5.3 | 2.1% | na |
| coverage | distribution | contig00020 | 131,471 | 52.5 | 5.9 | 1.7% | na |
| coverage | distribution | contig00021 | 129,637 | 54.7 | 5.2 | 1.8% | na |
| coverage | distribution | contig00022 | 127,836 | 53.8 | 5.5 | 1.7% | na |
| coverage | distribution | contig00023 | 127,187 | 53.3 | 4.3 | 1.7% | na |
| coverage | distribution | contig00024 | 114,278 | 51.4 | 4.1 | 1.5% | na |
| coverage | distribution | contig00025 | 107,199 | 51.9 | 4.7 | 1.5% | na |
| coverage | distribution | contig00026 | 107,112 | 54.5 | 5.0 | 1.6% | na |
| coverage | distribution | contig00027 | 91,015 | 53.1 | 3.8 | 1.3% | na |
| coverage | distribution | contig00028 | 90,804 | 70.6 | 5.1 | 1.6% | na |
| coverage | distribution | contig00029 | 88,731 | 49.6 | 6.4 | 1.1% | na |
| coverage | distribution | contig00030 | 87,478 | 58.5 | 7.2 | 1.4% | na |
| coverage | distribution | contig00031 | 86,024 | 53.7 | 4.6 | 1.2% | na |
| coverage | distribution | contig00032 | 85,121 | 50.7 | 4.6 | 1.1% | na |
| coverage | distribution | contig00033 | 83,705 | 54.2 | 6.6 | 1.1% | na |
| coverage | distribution | contig00034 | 82,070 | 69.8 | 7.0 | 1.5% | na |
| coverage | distribution | contig00035 | 79,069 | 58.7 | 4.0 | 1.3% | na |
| coverage | distribution | contig00036 | 78,663 | 52.9 | 5.0 | 1.1% | na |
| coverage | distribution | contig00037 | 78,540 | 53.7 | 4.0 | 1.1% | na |
| coverage | distribution | contig00038 | 76,148 | 53.7 | 5.8 | 1.0% | na |
| coverage | distribution | contig00039 | 72,584 | 53.6 | 5.0 | 1.0% | na |
| coverage | distribution | contig00040 | 69,143 | 53.4 | 4.1 | 1.0% | na |
| coverage | distribution | contig00041 | 68,060 | 53.2 | 5.8 | 0.9% | na |
| coverage | distribution | contig00042 | 67,982 | 49.8 | 4.8 | 0.9% | na |
| coverage | distribution | contig00043 | 63,128 | 51.7 | 4.7 | 0.9% | na |
| coverage | distribution | contig00044 | 58,413 | 51.8 | 4.8 | 0.8% | na |
| coverage | distribution | contig00045 | 56,454 | 63.2 | 6.1 | 1.0% | na |
| coverage | distribution | contig00046 | 53,825 | 57.0 | 5.6 | 0.8% | na |
| coverage | distribution | contig00047 | 48,541 | 48.5 | 4.0 | 0.6% | na |
| coverage | distribution | contig00048 | 46,624 | 63.4 | 6.4 | 0.7% | na |
| coverage | distribution | contig00049 | 46,356 | 52.5 | 4.8 | 0.6% | na |
| coverage | distribution | contig00050 | 45,457 | 54.1 | 4.6 | 0.6% | na |
| coverage | distribution | contig00051 | 40,728 | 55.2 | 5.7 | 0.6% | na |
| coverage | distribution | contig00052 | 40,657 | 49.7 | 3.5 | 0.6% | na |
| coverage | distribution | contig00053 | 39,821 | 67.3 | 6.2 | 0.7% | na |
| coverage | distribution | contig00054 | 36,958 | 47.8 | 3.8 | 0.5% | na |
| coverage | distribution | contig00055 | 35,462 | 50.4 | 4.5 | 0.5% | na |
| coverage | distribution | contig00056 | 33,102 | 49.3 | 7.3 | 0.4% | na |
| coverage | distribution | contig00057 | 27,860 | 88.0 | 13.7 | 0.6% | na |
| coverage | distribution | contig00058 | 27,428 | 61.4 | 4.7 | 0.4% | na |
| coverage | distribution | contig00059 | 27,156 | 50.9 | 5.0 | 0.4% | na |
| coverage | distribution | contig00060 | 26,587 | 50.5 | 4.8 | 0.3% | na |
| coverage | distribution | contig00061 | 25,873 | 58.8 | 5.0 | 0.4% | na |
| coverage | distribution | contig00062 | 23,606 | 55.3 | 4.1 | 0.3% | na |
| coverage | distribution | contig00063 | 22,273 | 48.5 | 6.9 | 0.3% | na |
| coverage | distribution | contig00064 | 21,932 | 59.3 | 4.5 | 0.3% | na |
| coverage | distribution | contig00065 | 19,298 | 45.6 | 2.9 | 0.3% | na |
| coverage | distribution | contig00066 | 18,189 | 57.0 | 8.6 | 0.2% | na |
| coverage | distribution | contig00067 | 17,200 | 52.8 | 7.1 | 0.2% | na |
| coverage | distribution | contig00068 | 14,439 | 52.7 | 2.8 | 0.2% | na |
| coverage | distribution | contig00069 | 12,147 | 100.3 | 5.6 | 0.3% | na |
| coverage | distribution | contig00070 | 11,282 | 58.2 | 3.8 | 0.2% | na |
| coverage | distribution | contig00071 | 7,727 | 50.4 | 3.7 | 0.1% | na |
| coverage | distribution | contig00072 | 7,427 | 58.4 | 3.7 | 0.1% | na |
| coverage | distribution | contig00073 | 5,629 | 37.6 | 2.3 | 0.1% | na |
| coverage | distribution | contig00074 | 4,678 | 66.8 | 2.3 | 0.1% | na |
| coverage | distribution | contig00075 | 4,096 | 53.8 | 1.4 | 0.1% | na |
| coverage | distribution | contig00076 | 4,066 | 61.5 | 2.9 | 0.1% | na |
| coverage | distribution | contig00077 | 3,854 | 75.2 | 3.4 | 0.1% | na |
| coverage | distribution | contig00078 | 3,514 | 69.0 | 3.2 | 0.1% | na |
| coverage | distribution | contig00079 | 3,402 | 67.5 | 3.7 | 0.1% | na |
| coverage | distribution | contig00080 | 3,170 | 666.6 | 22.7 | 0.5% | na |
| coverage | distribution | contig00081 | 2,708 | 76.9 | 3.5 | 0.1% | na |
| coverage | distribution | contig00082 | 2,537 | 50.6 | 2.4 | 0.0% | na |
| coverage | distribution | contig00083 | 2,482 | 308.4 | 18.2 | 0.2% | na |
| coverage | distribution | contig00084 | 2,302 | 84.0 | 4.1 | 0.0% | na |
| coverage | distribution | contig00085 | 1,863 | 217.8 | 4.6 | 0.1% | na |
| coverage | distribution | contig00086 | 1,659 | 28.4 | 1.0 | 0.0% | na |
| coverage | distribution | contig00087 | 1,541 | 654.0 | 12.1 | 0.2% | na |
| coverage | distribution | contig00088 | 1,457 | 294.1 | 5.5 | 0.1% | na |
| coverage | distribution | contig00089 | 1,355 | 327.3 | 4.4 | 0.1% | na |
| coverage | distribution | contig00090 | 1,355 | 213.1 | 9.5 | 0.1% | na |
| coverage | distribution | contig00091 | 1,345 | 139.5 | 6.8 | 0.0% | na |
| coverage | distribution | contig00092 | 1,295 | 88.5 | 6.0 | 0.0% | na |
| coverage | distribution | contig00093 | 1,195 | 127.3 | 4.6 | 0.0% | na |
| coverage | distribution | contig00094 | 1,190 | 139.6 | 1.0 | 0.0% | na |
| coverage | distribution | contig00095 | 1,163 | 83.8 | 2.8 | 0.0% | na |
| coverage | distribution | contig00096 | 1,101 | 140.0 | 1.7 | 0.0% | na |
| coverage | distribution | contig00097 | 911 | 355.8 | 2.9 | 0.1% | na |
| coverage | distribution | contig00098 | 896 | 108.9 | 5.6 | 0.0% | na |
| coverage | distribution | contig00099 | 882 | 131.3 | 11.7 | 0.0% | na |
| coverage | distribution | contig00100 | 858 | 128.7 | 1.4 | 0.0% | na |
| coverage | distribution | contig00101 | 735 | 86.9 | 5.6 | 0.0% | na |
| coverage | distribution | contig00102 | 666 | 152.3 | 1.2 | 0.0% | na |
| coverage | distribution | contig00103 | 613 | 29.5 | 2.6 | 0.0% | na |
| coverage | distribution | contig00104 | 559 | 35.2 | 5.4 | 0.0% | na |
| coverage | distribution | contig00105 | 525 | 357.9 | 8.3 | 0.0% | na |
| coverage | distribution | contig00106 | 515 | 37.6 | 2.0 | 0.0% | na |
| coverage | distribution | contig00107 | 503 | 97.7 | 1.3 | 0.0% | na |
| total | 6,994,048 | 100.0% |
fit dispersion is the ratio of the variance to the mean for the negative binomial fit. It is =1 for Poisson and >1 for over-dispersed data.
| option | limit | actual |
|---|---|---|
| Number of alignment pairs examined for constructing junction candidates | ≤ 100000 | 3005 |
| Coverage evenness (position-hash) score of junction candidates | ≥ 2 | ≥ 2 |
| Test this many junction candidates (n). May be smaller if not enough passed the coverage evenness threshold | 100 ≤ n ≤ 5000 | 492 |
| Total length of all junction candidates (factor times the reference genome length) | ≤ 0.1 | 0.021 |
| reference sequence | pr(no read start) |
|---|---|
| contig00001 | 0.85829 |
| contig00002 | 0.86661 |
| contig00003 | 0.86320 |
| contig00004 | 0.85660 |
| contig00005 | 0.85887 |
| contig00006 | 0.86470 |
| contig00007 | 0.85690 |
| contig00008 | 0.85232 |
| contig00009 | 0.85514 |
| contig00010 | 0.85548 |
| contig00011 | 0.84887 |
| contig00012 | 0.83221 |
| contig00013 | 0.86653 |
| contig00014 | 0.83920 |
| contig00015 | 0.84312 |
| contig00016 | 0.86490 |
| contig00017 | 0.85631 |
| contig00018 | 0.86264 |
| contig00019 | 0.84045 |
| contig00020 | 0.86209 |
| contig00021 | 0.85413 |
| contig00022 | 0.86025 |
| contig00023 | 0.85873 |
| contig00024 | 0.85982 |
| contig00025 | 0.85759 |
| contig00026 | 0.84626 |
| contig00027 | 0.85473 |
| contig00028 | 0.82293 |
| contig00029 | 0.86858 |
| contig00030 | 0.84265 |
| contig00031 | 0.85844 |
| contig00032 | 0.86300 |
| contig00033 | 0.85973 |
| contig00034 | 0.82354 |
| contig00035 | 0.83706 |
| contig00036 | 0.85983 |
| contig00037 | 0.85301 |
| contig00038 | 0.86059 |
| contig00039 | 0.85944 |
| contig00040 | 0.85666 |
| contig00041 | 0.85882 |
| contig00042 | 0.86274 |
| contig00043 | 0.85742 |
| contig00044 | 0.85872 |
| contig00045 | 0.83019 |
| contig00046 | 0.84546 |
| contig00047 | 0.86546 |
| contig00048 | 0.83940 |
| contig00049 | 0.86164 |
| contig00050 | 0.85319 |
| contig00051 | 0.85192 |
| contig00052 | 0.85986 |
| contig00053 | 0.81889 |
| contig00054 | 0.86135 |
| contig00055 | 0.86199 |
| contig00056 | 0.86768 |
| contig00057 | 0.80505 |
| contig00058 | 0.83983 |
| contig00059 | 0.86379 |
| contig00060 | 0.86334 |
| contig00061 | 0.84068 |
| contig00062 | 0.85421 |
| contig00063 | 0.86945 |
| contig00064 | 0.84177 |
| contig00065 | 0.85879 |
| contig00066 | 0.86401 |
| contig00067 | 0.85841 |
| contig00068 | 0.85650 |
| contig00069 | 0.77772 |
| contig00070 | 0.84864 |
| contig00071 | 0.85454 |
| contig00072 | 0.84230 |
| contig00073 | 0.86436 |
| contig00074 | 0.82818 |
| contig00075 | 0.85093 |
| contig00076 | 0.84380 |
| contig00077 | 0.82106 |
| contig00078 | 0.82462 |
| contig00079 | 0.82861 |
| contig00080 | 0.35180 |
| contig00081 | 0.82035 |
| contig00082 | 0.87091 |
| contig00083 | 0.54856 |
| contig00084 | 0.80864 |
| contig00085 | 0.62006 |
| contig00086 | 0.88556 |
| contig00087 | 0.39754 |
| contig00088 | 0.56687 |
| contig00089 | 0.46878 |
| contig00090 | 0.62645 |
| contig00091 | 0.71725 |
| contig00092 | 0.78177 |
| contig00093 | 0.73347 |
| contig00094 | 0.72143 |
| contig00095 | 0.79708 |
| contig00096 | 0.71220 |
| contig00097 | 0.49759 |
| contig00098 | 0.77958 |
| contig00099 | 0.78005 |
| contig00100 | 0.75350 |
| contig00101 | 0.82381 |
| contig00102 | 0.71354 |
| contig00103 | 0.91429 |
| contig00104 | 0.91950 |
| contig00105 | 0.57412 |
| contig00106 | 0.89877 |
| contig00107 | 0.80671 |
pr(no read start) is the probability that there will not be an aligned read whose first base matches a given position on a given strand.
| option | value |
|---|---|
| Coverage evenness (position-hash) score of predicted junctions must be | ≥ 3 |
| Skew score of predicted junction (−log10 probability of unusual coverage evenness) must be | ≤ 3 |
| Number of bases that at least one read must overlap each uniquely aligned side of a predicted junction | ≥ 1 |
| option | value |
|---|---|
| Mode | Consensus/Mixed Base |
| Ploidy | 1 (haploid) |
| Consensus mutation E-value cutoff | 10 |
| Consensus frequency cutoff | 0.8 |
| Consensus minimum variant coverage each strand | OFF |
| Consensus minimum total coverage each strand | OFF |
| Consensus minimum variant coverage | OFF |
| Consensus minimum total coverage | OFF |
| Polymorphism E-value cutoff | 10 |
| Polymorphism frequency cutoff | 0.2 |
| Polymorphism minimum variant coverage each strand | OFF |
| Polymorphism minimum total coverage each strand | OFF |
| Polymorphism minimum variant coverage | OFF |
| Polymorphism minimum total coverage | OFF |
| Polymorphism bias cutoff | OFF |
| Predict indel polymorphisms | YES |
| Skip indel polymorphisms in homopolymers runs of | OFF |
| Skip base substitutions when they create a homopolymer flanked on each side by | OFF |
| program | version |
|---|---|
| bowtie2 | 2.3.2 |
| R | 3.2.1 |
| step | start | end | elapsed |
|---|---|---|---|
| Read and reference sequence file input | 00:52:46 28 Jul 2019 | 00:53:17 28 Jul 2019 | 31 seconds |
| Read alignment to reference genome | 00:53:17 28 Jul 2019 | 01:01:03 28 Jul 2019 | 7 minutes 46 seconds |
| Preprocessing alignments for candidate junction identification | 01:01:03 28 Jul 2019 | 01:01:43 28 Jul 2019 | 40 seconds |
| Preliminary analysis of coverage distribution | 01:01:43 28 Jul 2019 | 01:04:52 28 Jul 2019 | 3 minutes 9 seconds |
| Identifying junction candidates | 01:04:52 28 Jul 2019 | 01:05:00 28 Jul 2019 | 8 seconds |
| Re-alignment to junction candidates | 01:05:00 28 Jul 2019 | 01:07:02 28 Jul 2019 | 2 minutes 2 seconds |
| Resolving best read alignments | 01:07:02 28 Jul 2019 | 01:08:14 28 Jul 2019 | 1 minute 12 seconds |
| Creating BAM files | 01:08:14 28 Jul 2019 | 01:10:26 28 Jul 2019 | 2 minutes 12 seconds |
| Tabulating error counts | 01:10:26 28 Jul 2019 | 01:10:59 28 Jul 2019 | 33 seconds |
| Re-calibrating base error rates | 01:10:59 28 Jul 2019 | 01:11:36 28 Jul 2019 | 37 seconds |
| Examining read alignment evidence | 01:11:36 28 Jul 2019 | 01:18:58 28 Jul 2019 | 7 minutes 22 seconds |
| Polymorphism statistics | 01:18:58 28 Jul 2019 | 01:18:58 28 Jul 2019 | 0 seconds |
| Output | 01:18:58 28 Jul 2019 | 01:19:46 28 Jul 2019 | 48 seconds |
| Total | 27 minutes 0 seconds |


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Key
- Value
- public class LRUCache<Key,Value> extends java.lang.Object implements HGCache<Key,Value>, CloseMe
Implements a cache that keeps most recently used elements in memory while discarding the least recently used ones. Evicting elements is done in chunks determined by a percentage of the current cache's size - see the constructors for more info.
| Constructor and Description |
|---|
LRUCache() |
LRUCache(float usedMemoryThreshold,
float evictPercent) |
LRUCache(int maxSize,
int evictCount) |
LRUCache(java.util.concurrent.locks.ReadWriteLock lockImplementation) |
| Modifier and Type | Method and Description |
|---|---|
void |
checkConsistent()
Check that the map contains exactly the same elements as the linked list.
|
void |
clear()
Clear (i.e.
|
void |
clearNonBlocking() |
void |
close() |
protected void |
finalize() |
Value |
get(Key key)
Retrieve an element from the cache.
|
Value |
getIfLoaded(Key key)
Retrieve and return an element from the cache if it's already there or
return
null otherwise. |
RefResolver<Key,Value> |
getResolver()
Return the
RefResolver used to load data in the cache. |
boolean |
isLoaded(Key key)
Return
true if the element with the given key is currently in the
cache and false otherwise. |
void |
remove(Key key)
Force removal of an element from the cache.
|
void |
setLockImplementation(java.util.concurrent.locks.ReadWriteLock lockImplementation) |
void |
setResolver(RefResolver<Key,Value> resolver)
Set the
RefResolver to be used to load data in the cache. |
int |
size()
Return the number of elements currently in the cache.
|
public LRUCache()
public LRUCache(java.util.concurrent.locks.ReadWriteLock lockImplementation)
public LRUCache(int maxSize, int evictCount)
maxSize
- The maximum number of elements allowed in the cache.evictCount
- The number of (least used) elements to evict when
the cache reaches its maximum.public LRUCache(float usedMemoryThreshold, float evictPercent)
usedMemoryThreshold
- The percentage of total memory that
must become used before the cache decides to evict elements (e.g.
a value of 0.9 means the cache will evict elements when 90% of memory
is currently in use).evictPercent
- The percentage of elements to evict when the
usedMemoryThreshold is reached.protected void finalize()
finalize
in class java.lang.Object
public Value get(Key key)
HGCache
Retrieve an element from the cache. If the element is already in the cache,
it is simply returned. Otherwise, the RefResolver
will be used to
obtain it automatically from permanent storage.
public Value getIfLoaded(Key key)
HGCache
Retrieve and return an element from the cache if it's already there or
return null
otherwise. This method will not call the
RefResolver
when the element is not found in the cache.
getIfLoaded
in interface HGCache<Key,Value>
key
- The key of the element.null
is it's not found in the cache.public boolean isLoaded(Key key)
HGCache
Return true
if the element with the given key is currently in the
cache and false
otherwise.
public void remove(Key key)
HGCache
Force removal of an element from the cache. This method is generally used when the data has been (or is being) removed from the permanent storage as well.
public RefResolver<Key,Value> getResolver()
HGCache
Return the RefResolver
used to load data in the cache.
getResolver
in interface HGCache<Key,Value>
public void setResolver(RefResolver<Key,Value> resolver)
HGCache
Set the RefResolver
to be used to load data in the cache.
setResolver
in interface HGCache<Key,Value>
public void clear()
HGCache
Clear (i.e. force removal of) all elements from the cache.
public void clearNonBlocking()
public void checkConsistent()
public void setLockImplementation(java.util.concurrent.locks.ReadWriteLock lockImplementation)
public void close()


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This is a demo of the Sparrow Application Layer for Contiki OS. The demo
illustrate some of the features of the Sparrow Application Layer and the
tools around it. The demo is based on the Sparrow / Contiki OS codebase
plus some open source libraries for Javascript and Python.
Non Sparrow / Contiki OS code used for the demo:
- JQuery by John Resig et.al. (MIT License)
- JQuery EasyTabs by Steve Schwartz (MIT License)
- JQuery Modal by Kyle Fox (MIT License)
- Javascript-surface-plot by Greg Ross (New BSD License)
- Vis.js for Network Topology Graphs (Apache 2.0 and MIT License)
- SimpleWebSocketServer - Python library by Dave Pallot (MIT License)


The Game Awards 2019 nominees have been announced
by Steve WrightWhich games, actors, players and content creators do you hope will win?
The Game Awards 2019 nominees have been announced ahead of the big event on 12 December.
Titles like Control, Death Stranding, Sekiro: Shadows Die Twice, Super Smash Bros. Ultimate, The Outer Worlds and Call of Duty: Modern Warfare have done quite well, earning nominations in a number of categories.
Here are all the nominees.
Game of the Year
- Control
- Death Stranding
- Super Smash Bros. Ultimate
- Resident Evil 2
- Sekiro: Shadows Die Twice
- The Outer Worlds
Best Action Game
- Apex Legends
- Astral Chain
- Call of Duty: Modern Warfare
- Devil May Cry 5
- Gears 5
- Metro Exodus
Best Action/Adventure Game
- Borderlands 3
- Control
- Death Stranding
- Resident Evil 2
- The Legend of Zelda: Link’s Awakening
- Sekiro Shadows Die Twice
Best Role-Playing Game
- Disco Elysium
- Final Fantasy 14
- Monster Hunter World Iceborne
- Kingdom Hearts 3
- The Outer Worlds
Best Fighting Game
- Dead or Alive 6
- Jump Force
- Mortal Kombat 11
- Samurai Showdown
- Super Smash Bros. Ultimate
Best Family Game
- Luigi’s Mansion 3
- Ring Fit Adventure
- Super Mario Maker 2
- Super Smash Bros. Ultimate
- Yoshi’s Crafted World
Best VR/AR Game
- Asgard’s Wrath
- Blood & Truth
- Beat Saber
- No Man’s Sky
- Trover Saves the Universe
Best Mobile Game
- Call of Duty: Mobile
- Grindstone
- Sayonara Wild Hearts
- Sky: Children of Light
- What The Golf?
Best Strategy Game
- Age of Wonders: Planetfall
- Anno 1800
- Fire Emblem: Three Houses
- Total War: Three Kingdoms
- Tropico 6
- Wargroove
Games For Impact
- Concrete Genie
- Gris
- Kind Words
- Life is Strange 2
- Sea of Solitude
Best Game Direction
- Control
- Death Stranding
- Resident Evil 2
- Sekiro: Shadows Die Twice
- Outer Wilds
Best E-Sports
- CS:GO
- DOTA2
- Fortnite
- League of Legends
- Overwatch
Best Narrative
- A Plague Tale: Innocence
- Control
- Death Stranding
- Disco Elysium
- The Outer Worlds
Best Art Direction
- Control
- Death Stranding
- Gris
- Sayonara Wild Hearts
- Sekiro: Shadows Die Twice
- The Legend of Zelda: Link’s Awakening
Best Independent Game
- Baba Is You
- Disco Elysium
- Katana ZERO
- Outer Wilds
- Untitled Goose Game
Best Sports/Racing
- Crash Team Racing Nitro-Fueled
- DiRT Rally 2.0
- eFootball Pro Evolution Soccer 2020
- F1 2019
- FIFA 20
Best Multiplayer Game
- Apex Legends
- Borderlands 3
- Call of Duty: Modern Warfare
- Tetris 99
- Tom Clancy’s The Division 2
Best Ongoing Game
- Apex Legends
- Destiny 2
- Final Fantasy XIV
- Fortnite
- Tom Clancy’s Rainbow Six Siege
Best Score/Music
- Cadence of Hyrule
- Death Stranding
- Devil May Cry 5
- Kingdom Hearts III
- Sayonara Wild Hearts
Best Audio Design
- Call of Duty: Modern Warfare
- Control
- Death Stranding
- Gears 5
- Resident Evil 2
- Sekiro: Shadows Die Twice
Best Performance
- Ashly Burch/Outer Worlds
- Courtney Hope/Control
- Laura Bailey/Gears 5
- Mads Mikkelsen/DS
- Matthew Porretta/Control
- Norman Reedus/DS
Fresh Indie Developer
- ZA/UM for Disco Elysium
- Nomada Studio for Gris
- DeadToast for My Friend Pedro
- Mobius Digital for Outer Wilds
- Mega Crit for Slay the Spire
- House House for Untitled Goose Game
Best Esports Player
- Bugha
- Faker
- G2perkz
- S1mpleo
- Sinatara
Best Content Creator
- Courage
- Dr. Lupo
- Shroud
- Ewok
- TheGrefg
Fans can expect the award show, of which Stevivor has served as a member of the judging panel for a number of years now, on 12 December. Viewers can also vote for the awards show; head here to do so.
Which games, actors, players and content creators do you hope will win?


Array of drugs, guns, cash seized during arrest connected to S.C. murder
by WBTV Web StaffLANCASTER COUNTY, N.C. (WBTV) - When deputies went to arrest a man in connection to a murder, they also arrested four other people and seized various amounts of drugs, guns and cash Thursday morning in Lancaster County.
According to the Kershaw County Sheriff’s Office, Kershaw investigators partnered with the Lancaster County Sheriff’s Office Thursday morning to conduct a search warrant in Lancaster County.
Kershaw investigators had an arrest warrant on 47-year-old Shannon “Hambone” Myers for accessory after the fact to murder, in connection to the investigation of the murder of Eddie Baker.
While at the residence, Kershaw and Lancaster deputies arrested Myers and four other drug dealers and users on multiple charges.
During these arrests, deputies also recovered 811.5 grams of meth, 49 grams of heroine, 8.35 grams of cocaine, 4.74 grams of marijuana, seven controlled pills, 29 grams of illegal mushrooms, three handguns, and $4,372 in cash.
Officials say Myers was arrested and booked into Lancaster County Jail.
Lancaster County Sheriff’s Office says five people total were arrested on several charges including drug charges. They were all arrested at a home on Doby’s Bridge Road.


Hi all ,
i noticed that there are no updates anymore for my emoncms.org account. This started at 17:49 CET time.
looking at my emonhub.log, i see that no errors, only OK messages.
emoncmsorg sending: http://emoncms.org/input/bulk.json?apikey=E-M-O-N-C-M-S-A-P-I-K-E-Y&data=[[1453822956,11,417,20,0,0,229.4,300,300,300,300,300,300,0.01,49.92,0.964263379573822, 0.6339240670204163,-Infinity,0.0,-63],[1453822966,11,403,22,0,0,229.85,300,300,300,300,300,300,0.01,49.92,0.9639006853103638, 0.6291603446006775,-Infinity,0.0,-61],[1453822976,11,407,20,0,0,229.78,300,300,300,300,300,300,0.01,49.94,0.9638637900352478, 0.6059062480926514,Infinity,0.0,-62]]&sentat=1453822986 2016-01-26 16:43:06,242 DEBUG emoncmsorg acknowledged receipt with 'ok' from http://emoncms.org
Is there something i need to do to get me feeds back online ?
Luc
Edit - wrapped long lines - Moderator, BT
No emoncms.org updates
Submitted by<EMAIL_ADDRESS>on Tue, 26/01/2016 - 15:52Hi all ,
i noticed that there are no updates anymore for my emoncms.org account. This started at 17:49 CET time.
looking at my emonhub.log, i see that no errors, only OK messages.
emoncmsorg sending: http://emoncms.org/input/bulk.json?apikey=E-M-O-N-C-M-S-A-P-I-K-E-Y&data=[[1453822956,11,417,20,0,0,229.4,300,300,300,300,300,300,0.01,49.92,0.964263379573822,
0.6339240670204163,-Infinity,0.0,-63],[1453822966,11,403,22,0,0,229.85,300,300,300,300,300,300,0.01,49.92,0.9639006853103638,
0.6291603446006775,-Infinity,0.0,-61],[1453822976,11,407,20,0,0,229.78,300,300,300,300,300,300,0.01,49.94,0.9638637900352478,
0.6059062480926514,Infinity,0.0,-62]]&sentat=1453822986
2016-01-26 16:43:06,242 DEBUG emoncmsorg acknowledged receipt with 'ok' from http://emoncms.org
Is there something i need to do to get me feeds back online ?
Luc
Edit - wrapped long lines - Moderator, BT


This project template is the basis of an PCB for the
Hammond Manufacturing RM2055M Enclosure
Board Dimensions: 183mm x 128.5mm
Case Dimensions: 190mm x 140mm x 50.5mm
Panel Dimensions: 184.5mm x 45.5mm
(c) 2019 Kai Raphahn
(c) 1997-2019 Hammond Mfg Co Inc


PLANET SICK-BOY: http://www.sick-boy.com
Neil Jordan's (In Dreams) latest is a lean adaptation of Graham Greene's novel of the same name. There isn't much to the story (some even say that the book would have been better as a novella) and there aren't many characters. But thanks to first-rate acting talent and gorgeously dark cinematography, The End of the Affair is still a winner.
The story takes place in London during and after World War II, where Sarah Miles (Julianne Moore, An Ideal Husband) steps out on her boring, loveless, civil-servant husband Henry (Stephen Rea, Guinevere) to have a torrid affair with a novelist named Maurice Bendrix (Ralph Fiennes, The Avengers). Their trysts begin in 1939 and the two carry on unchecked for years until one day Sarah abruptly calls off the relationship without even giving Maurice a reason.
Years later, Maurice is still perplexed about the termination of their affair. Believing that she left him for another man, he hires a private investigator (Ian Hart, Enemy of the State) to shadow his ex-lover. Their relationship is shown in a series of intricate flashbacks, with the first half of the film from Maurice's perspective and the second from Sarah's as he reads it from a diary lifted by the PI.
Jordan's unique structure and Roger Pratt's (12 Monkeys) haunting camera work complement the great performances from Fiennes, Moore and Hart. The story of jealousy and lust is simple and predictable, yet in the capable hands of this cast and crew, The End of the Affair is always entertaining.
1:49 - R for nudity and scenes of strong sexuality
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


By: Kira L
Use the arrow keys to move the tiles. If you are on a device without a keyboard, this game will not work. When two tiles with the same number collide, they will merge into their sum. Try to get the 2048 tile!
This game is a variation of 2048, which can be played at play2048.co.
If you like this, check out my other projects at kiraprograms.com!


Commands are the way that programmers extend the Exactor framework to automate acceptance tests against their own applications.
A command is created by extending the framework class com.exoftware.exactor.Command
.
By default the command will fail with a message indicating that no implementation has been provided.
To make a command do something useful the programmer must override the execute
method to perform whatever actions or checks are required by the command.
The framework Command
class extends JUnit's junit.framework.Assert
, therefore all of the methods of Assert
are available for use in commands. These asserts can be used to perform any required checks.
An assertion failure results in an AssertionFailedError
being thrown. The framework catches these errors and reports them as failures in the script.
Any other exceptions are caught by the framework and reported as errors in the script.
Commands will normally require additional information to do anything useful. This additional information is typically supplied to the command as parameters in the test script.
The Command
class provides access to the parameters supplied to the command in the script using the getParameter
method, which takes a zero based integer index indicating the position of the parameter to access.
The Parameter
class returned has methods, intValue
, doubleValue
and booleanValue
to convert parameters supplied to the script into various primitive types.
It may be necessary for a number of commands to share information to carry out their actions.
The framework provides two levels of context that commands can use to store values that can be accessed by other commands.
The Script
containing the command (accessable via the getScript
method on Command
) has a context map that is available to all commands in the same script.
The ExecutionSet
has a context map that is available to all commands in all scripts in a particular run, i.e. a global context.
The context maps are simply instances of java.util.Map
accessed by the getContext
methods on Script
and ExecutionSet
.
If you find that your scripts repeat the same sequence of commands you can create a composite command that contains the repeated commands and call the composite command in your scripts.
A composite command is simply a script file with the usual .act
extension located on the CLASSPATH.
A composite command is referenced by the name of the .act
file, excluding the extension. For example a compsite command defined in the file SomeCommand.act
would be referenced by a script as SomeCommand
.
As part of your project build process you may need to explicitly copy .act
files into a location specified on the CLASSPATH
Composite commands may require parameters just as basic commands do.
Parameters are supplied to the composite in the same way as a basic command by putting them after the command name in the script file.
For the composite to make use of the parameters the composite command can use placeholder parameters to refer to the positional index of the supplied script parameters.
Placeholder parameters are defined using the dollar sign '$'
followed by the positional index of the parameter, e.g. $0
refers to the first parameter passed to the composite, $1
the second, and so on.
For example consider the composite command SomeCommand
defined as follows;
FirstCommand $0 $1
SecondCommand $1
If the SomeCommand
composite is referenced in another script the parameters supplied will be substituted for the placeholder parameters in SomeCommand
as shown below;
SomeCommand Hello World
SomeCommand Goodbye "Cruel World"
In the first call to the composite SomeCommand
, $0
is replaced by 'Hello' and $1
is replaced by 'World'.
In the second call, $0
is replaced by 'Goodbye' and $1
by 'Cruel World'.
The Exactor distribution comes with a set of commands for scripting interations with web based and SWT client based applications, see API Docs for more details.


To connect to your mapping API:
- Go to the OS Data Hub,
- Create a project,
- Add the OS Vector Tile API to your project
- Copy the project API Key, and enter it into the box above.
Note that this sample will allow you to zoom the map down into Premium data layers.
If your API key only has access to OS OpenData layers then those requests will fail.


Preparation time
30 mins to 1 hour
Cooking time
1 to 2 hours
Serves
Serves 4
You will have lots of granola leftover from this recipe which can be eaten for breakfast or used as crumble topping.
For the granola, preheat the oven to 180C/350F/Gas 4. Line a baking tray with baking parchment.
Put the nuts into a large bowl and combine with the oats, coconut and cinnamon.
Make a well in the centre of the dry mixture and add the honey, maple syrup and oil. Mix until thoroughly coated, then spread the mixture on to a lined baking tray.
Bake for about 10 minutes, then give the granola a stir and return to the oven for another 10 minutes, or until it is toasted and golden-brown.
 Cool completely and store in an airtight container until ready to eat.
For the spiced roasted pheasant with pumpkin and bread sauce, preheat the oven to 200C/400F/Gas 6.
To prepare the pheasant, remove the legs and wings and discard (they can be stored in the fridge and used in a different recipe, or for stock). In a large pan, poach the remaining crown in the chicken stock with the rosemary, bay leaves and thyme until the pheasant is cooked through (about 10-15 minutes). Remove from the heat and let it cool in the stock.
Lift the pheasant crown from the poaching liquid and drain. When cool enough to handle remove the breasts.
Heat a tablespoon of the oil in a frying pan, then add the crushed garlic. Fry the pheasant until golden-brown all over, then set aside to rest in a warm place.
Heat the remaining oil in an ovenproof frying pan set over a medium heat. Season the pumpkin wedges with salt and pepper, then fry them with the ginger for about 4-6 minutes, or until golden-brown on both sides.
Place the pan into the oven, on a lower shelf, and roast for 10-15 minutes, or until the pumpkin is just tender.
Meanwhile make the bread sauce. Melt the butter in a pan and add the shallots and a bit of salt and pepper. Gently fry the shallots for about 6-8 minutes, stirring often, until they are soft. Add the whole garlic cloves, milk and cream. Bring the liquid to a simmer and cook for five minutes.
Add the diced bread and simmer for a few more minutes, or until the bread is soft.
Transfer to a food processor and blend until smooth. Season, to taste, with salt and pepper.
Spoon the bread sauce into an espuma/gas gun and charge. (Alternatively you can serve the sauce as it is.)
To serve, carve the pheasant breasts on the diagonal and divide between warmed plates with the roast pumpkin, bread sauce and homemade granola.


--- layout: post title: 'Viewer Mail , #1' date: 2008-10-16 01:55:36.000000000 -04:00 type: post published: true status: publish categories: [] tags: - Astoria - Documentation - Viewer Mail meta: _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2008/10/16/viewer-mail-1.aspx orig_site_id: '7524' orig_post_id: '9001480' orig_parent_id: '9001480' orig_thread_id: '612217' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2008/10/16/viewer-mail-1.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
Disclaimer : These are my thoughts and opinions , although I work on the Astoria team , I am not the voice of the team.The team has its own voice and can be heard here : Project Astoria Team Blog
Hola !
I am interrupting my regularly scheduled blog post to answer some really interesting questions about one of my blog posts , i.e Working with Associations in ADO.NET Data Services. These questions are from the comments on the post and
also the public forums.
Vince says :
”Hi,
I find bad to be forced to use the Addlink to allow us to save relational object in the DB.
We have a pretty full object model but the Addlink method needs string argument. As each entity knows all navigation properties, why to not have something like entity.NavigationObject rather than string SourceProperty. At least, myObject.MyNavigationProperty.Name or ToStringName would be better.
Thanks
Nice blogs
Regards
-Vince”
e
Thank you Vince for the compliment and let me try to explain the reason we built the client this way.
For V1 , we wanted to give you POCO access to the data classes. Although we could infer the relation based on the type of the navigation property , this would break scenarios where we have more than 1 navigation properties of the same type and belonging to the same entity Set.
Consider this entity ,
public class Customer { public List<Orders> CashPurchases{get;set;} public List<Orders> CreditCardPurchases{get;set;} }
If you do an AddLink with just an instance of Orders, we would have to guess which navigation property we have to add the link to .
Customer newCustomer = new Customer(); Orders cashPurchase = new Orders(); Orders creditCardPurchase = new Orders(); context.AddLink( newCustomer , "??", cashPurchase);
In the above case , trying to guess the name of the association will land us in hot water as we don't know which navigation property you intended .
we cant go the other way around and try to use the instance of Orders to guess the name of the association
as we Orders may have other associations of type Customers and we dont know which one you intended.
If you do not wish to use the string to remember the association name , you can move that to a separate resource file and have all your strings localized in one place.
Consider this ..
public class StoreConstants{ public static string Customers_To_CashPurchases ="CashPurchases"; public static string Customers_To_CreditCardPurchases ="CreditCardPurchases"; }
and then in your code ,
Customer newCustomer = new Customer(); Orders cashPurchase = new Orders(); Orders creditCardPurchase = new Orders(); context.AddLink( newCustomer , StoreConstants.Customers_To_CashPurchases , cashPurchase); context.AddLink( newCustomer , StoreConstants.Customers_To_CreditCardPurchases , creditCardPurchase);
Simon says :
”Hi Phani,
Nice clear exposition of the topic.
However, I would think that, given that we are working with a client-side proxy, the separation of object tracking and association tracking is a bit too abstract for the most common scenarios where this client class may be used, ie with out-of-the-box databinding to UI components etc.
I understand the nice separation of concerns etc, but surely if the Customer or Contact properties are set in code, the user intends them to be set.I guess it is about user intentions and usability. Could you provide an overload such as
Context.AddObject( String property,Object value, Boolean shouldTrackAssociations)
Just a thought/suggestion.
Cheers,
Simon”
Thanks Simon for the compliment and lets explore this further,
I agree that the concept of treating associations as first class resources is somewhat new to the application scenarios where the client library is being used.
At the same time , we dont want to make assumptions on how the relation exists on the server as the client does not have enough information about the server schema.
Sure , we have the CLR types reflect the associations on the server i.e Reference for 1..1 relations and Collection types for 1..N relations.
But we really dont want to make assumptions about this.
Associations are first class resources on the server too , which means that any changes to associations should happen as separate requests or as part of another request. That making the assumption of a given relation causes an additional HTTP Request , which uses bandwidth you will be paying for .
Even if we added some magic to cause
newProduct.Categories.Add(newCategory) ;
to be
Context.AddLink(newProduct,"Categories",newCategory);
then the entity classes Products and Category would have to know about the DataServiceContext ,
newProduct.Context = myDataServiceContext;
and this would just look ugly ,IMHO.
Now , that was just me explaining how things are and why we cant do this today .
Let me share my thoughts of how this should be done and see how this sits with you .
If an entity has only one navigation property of a specify type .
ex: Customers has only one Navigation property of type Address.
Regardless of whether it is a Reference property or a Collection property,
updating the CLR property on the entity should setup the link
ex:
Address newAddress = new Address(){
City=’Bellevue’,
State=’WA’
};
newCustomer.Address = newAddress;
should automatically set this relation up in this way ,
context.SetLink(newCustomer,”Address”,newAddress);
To achieve this , without letting the entities know about the context ,the entities would have to notify the context that they have navigation properties and the context should listen for changes to the navigation properties.
But when should the context hook itself up to the afore-mentioned events ?
when the source entity is modified in some way perhaps ?
ex :
context.AddObject(“Customers”,newCustomer);
//pseudo code for AddObject
public void AddObject(string entitySetName,object entity) { ICanHazNavigationProperties navProps = entity as ICanHazNavigationProperties ; if( navProps !=null) { navProps.RegisterHandler(HandleNavPropChange); }
// do something here } private void HandleNavPropChange(object source,string associationName,
object target,Multiplicity associationMultiplicity,NavPropAction action)
{ switch(action) { case ( NavPropAction.AddLink ) : switch(associationMultiplicity) { case Multiplicity.One : this.SetLink(source,associationName,target); break; } break;
//Other cases skipped for brevity } } }
Now , if we go with this approach, the entity types themselves cannot be pure POCO objects if you want automatic
link tracking. For auto generated types using DataSvcUtil.exe or “Add Service Reference” this is no big deal.
But what about cases where one has to hand-craft the entity types by hand ?
Well, this was me just thinking out loud. If you agree/disagree , leave a comment and get featured in the next
“Viewer Mail”.
A data geek joke , just like associations are first class resources , comments are first class material for blog posts :)


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| goog.Disposable | |
| goog.events.EventTarget | goog.Disposable |
| goog.net.CrossDomainRpc | goog.events.EventTarget |
|
detectResponse_(responseDetectorHandle)
Detects response inside request frame
Arguments:
|
code » | |||||
|
getResponseHeader(name)
⇒
Gets a response header.
|
code » | |||||
|
getResponseJson()
⇒
If response is JSON, evaluates it to a JavaScript object and
returns it; otherwise returns undefined.
Returns:
JavaScript object if response is in JSON or undefined.
|
code » | |||||
|
isSuccess()
⇒
No description.
Returns:
Whether the request completed with a success.
|
code » | |||||
|
receiveResponse_()
Receives response by polling to check readiness of response and then
reads response frames and assembles response data
|
code » | |||||
|
reset()
No description.
|
code » | |||||
|
sendRequest(uri, opt_method, opt_params, opt_headers)
Sends a request across domain.
Arguments:
|
code » |
|
addEventListener(type, handler, opt_capture, opt_handlerScope)
Adds an event listener to the event target. The same handler can only be
added once per the type. Even if you add the same handler multiple times
using the same type then it will only be called once when the event is
dispatched.
Supported for legacy but use goog.events.listen(src, type, handler) instead.
Arguments:
|
code » | |||||
|
dispatchEvent(e)
⇒
Dispatches an event (or event like object) and calls all listeners
listening for events of this type. The type of the event is decided by the
type property on the event object.
If any of the listeners returns false OR calls preventDefault then this
function will return false. If one of the capture listeners calls
stopPropagation, then the bubble listeners won't fire.
Arguments:
Returns:
If anyone called preventDefault on the event object (or if any of the handlers returns false this will also return false.
|
code » | |||||
|
disposeInternal()
Unattach listeners from this object. Classes that extend EventTarget may
need to override this method in order to remove references to DOM Elements
and additional listeners, it should be something like this:
MyClass.prototype.disposeInternal = function() { MyClass.superClass_.disposeInternal.call(this); // Dispose logic for MyClass }; |
code » | |||||
|
getParentEventTarget()
⇒
Returns the parent of this event target to use for bubbling.
Returns:
The parent EventTarget or null if there is no parent.
|
code » | |||||
|
removeEventListener(type, handler, opt_capture, opt_handlerScope)
Removes an event listener from the event target. The handler must be the
same object as the one added. If the handler has not been added then
nothing is done.
Arguments:
|
code » | |||||
|
setParentEventTarget(parent)
Sets the parent of this event target to use for bubbling.
Arguments:
|
code » |
|
dispose()
No description.
|
code » | |
|
disposeInternal()
Deletes or nulls out any references to COM objects, DOM nodes, or other
disposable objects. Classes that extend
goog.Disposable should
override this method. For example:
mypackage.MyClass = function() { goog.Disposable.call(this); // Constructor logic specific to MyClass. ... }; goog.inherits(mypackage.MyClass, goog.Disposable); mypackage.MyClass.prototype.disposeInternal = function() { mypackage.MyClass.superClass_.disposeInternal.call(this); // Dispose logic specific to MyClass. ... }; |
code » | |
|
getDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » | |
|
isDisposed()
⇒
No description.
Returns:
Whether the object has been disposed of.
|
code » |
|
Creates the HTML of an input element
|
code » | ||||||
|
goog.net.CrossDomainRpc.createResponseInfo_(dummyUri, numChunks, isDataJson, status, headers)
Creates a response info iframe to indicate completion of sendResponse
|
code » | ||||||
|
Escapes ampersand so that XML/HTML entities are submitted as is because
browser unescapes them when they are put into a text area.
|
code » | ||||||
|
Finds a dummy resource that can be used by response to gain domain of
requester's page.
Returns:
URI of the resource to use.
|
code » | ||||||
|
Returns the payload of a frame (value after # or ? on the URL). This value
is URL encoded except IE, where the value is not encoded to begin with.
|
code » | ||||||
|
Returns payload delimiter, either "#" when caller's page is not used as
the dummy resource or "?" when it is, in which case caching issues prevent
response frames to gain the caller's domain.
|
code » | ||||||
|
goog.net.CrossDomainRpc.isInResponseIframe_()
⇒
*
Checks to see if we are executing inside a response iframe. This is the
case when this page is used as a dummy resource to gain caller's domain.
Returns:
*
True if we are executing inside a response iframe; false otherwise.
|
code » | ||||||
|
Checks whether a frame is response info frame.
|
code » | ||||||
|
Removes everything at and after hash from URI
|
code » | ||||||
|
Removes all parameters (after ? or #) from URI.
|
code » | ||||||
|
goog.net.CrossDomainRpc.send(uri, opt_continuation, opt_method, opt_params, opt_headers)
Sends a request across domain.
Arguments:
|
code » | ||||||
|
goog.net.CrossDomainRpc.sendResponse(data, isDataJson, echo, status, headers)
Makes response available for grandparent (requester)'s receiveResponse
call to pick up by creating a series of iframes pointed to the dummy URI
with a payload (value after either ? or #) carrying a chunk of response
data and a response info iframe that tells the grandparent (requester) the
readiness of response.
Arguments:
|
code » | ||||||
|
goog.net.CrossDomainRpc.setDebugMode(flag)
Sets debug mode to true or false. When debug mode is on, response iframes
are visible and left behind after their use is finished.
Arguments:
|
code » | ||||||
|
goog.net.CrossDomainRpc.setDummyResourceUri(dummyResourceUri)
Sets the URI for a dummy resource on caller's domain. This function is
used for specifying a particular resource to use rather than relying on
auto detection.
Arguments:
|
code » | ||||||
|
goog.net.CrossDomainRpc.setUseFallBackDummyResource(useFallBack)
Sets whether a fallback dummy resource ("/robots.txt" on Firefox and Safari
and current page on IE) should be used when a suitable dummy resource is
not available.
Arguments:
|
code » |
|
Header prefix.
|
Code » | |
|
Maximal chunk size. IE can only handle 4095 bytes on its URL.
16MB has been tested on Firefox. But 1MB is a practical size.
|
Code » | |
|
Parameter prefix.
|
Code » | |
|
Query parameter 'chunk'.
|
Code » | |
|
Parameter to echo prefix.
|
Code » | |
|
Parameter to echo: dummy resource URI
|
Code » | |
|
Parameter to echo: request id
|
Code » | |
|
Referrer of current document with all parameters after "?" and "#" stripped.
|
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Cross-domain request marker.
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Name of response info iframe.
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Cross-domain response iframe marker.
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period of response polling (ms)
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timeout from response comes back to sendResponse is called (ms)
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Logger for goog.net.CrossDomainRpc
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next request id used to support multiple XD requests at the same time
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Use a fallback dummy resource if none specified or detected.
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/exact.20and.20new.20goals.html ---
How come exact
makes _
s appearing inside record constructors into new goals?
structure C := (x : ℕ) example : C := by exact ⟨_⟩ -- error on _, "don't know how to synthesize placeholder" example : C := by exact { x := _ } -- error on exact, "tactic failed, there are unsolved goals"
Last updated: Apr 24 2020 at 19:02 UTC


Borderlands 3’s first campaign DLC is Moxxi’s Heist of the Handsome Jackpot
by Stephany NunneleyMoxxi’s Heist of the Handsome Jackpot is the first DLC campaign coming to Borderlands 3.
This is the first of four DLCs for Borderlands 3 and it drops on December 19.
It is included in both the Season Pass and the Borderlands 3 Super Deluxe Edition.
The DLC was announced in the latest Borderlands show, where the development team at Gearbox also discussed the patch coming to this week, which includes the endgame challenge of Takedown at the Maliwan Blacksite launching tomorrow, Mayhem Mode 4, and some quality-of-life improvements.
All bosses will have dedicated loot pools and expanded bank spots as promised in tomorrow’s update. A target dummy will be available, and new vending machines will be deployed across all maps.
Once the patch drops tomorrow, we’ll post the notes.
Here are the details on Moxxi’s Heist of the Handsome Jackpot:
- Pull off the Ultimate Casino Heist
Moxxi’s assembling a crew to plunder a derelict space station casino and you’ve proven yourself worthy of joining her ragtag team of “experts.” Successfully battle your way through Hyperion security forces and crazed casino-goers to reach a safe loaded with Eridium, cash, and all-new Legendary loot.
- The Handsome Jackpot
This once-thriving destination is packed with unique zones worthy of Handsome Jack’s lavish lifestyle and dirty dealings but has been on total lockdown since his death.
- You Need access to Sanctuary 3
To reach The Handsome Jackpot you need to have played enough of the Borderlands 3 story to have access to Sanctuary 3. The enemies and loot aboard the station will scale to your Vault Hunter’s level, ensuring that the casino heist missions and new Crew Challenges are suitably difficult and rewarding.
- Beat Casino Security
Get a blast from Pandora’s past when you battle the Hyperion forces that outlived Handsome Jack, including never-before-seen enemies and larger-than-life bosses.
- All-New Loot
Walk away with Legendary weapons and gear and expand your collection of customization items with Vault Hunter Heads & Skins, Weapon Trinkets, an ECHO Device Skin, and new Emotes.
Arekkz goes over all the news in his latest video. Get a quick rundown below.
Games featured in this article


Hit the power button and watch as this receiver comes to life!
What exactly did I do here?
I reverse engineered my own 1982 Harman Kardon 590i receiver and realized it as a web application.
A sketch of the audio routing.
Utilizing technologies like Less, JavaScript, HTML5, Google Web Fonts, streaming audio, and the JavaScript Web Audio API I was able to replicate the real-life receiver's functionality.
The interface is constructed almost entirely in CSS and HTML5, and matched as closely as possible to the real thing. A very small css sprite image was used to create the digital font in the electronic display. Go ahead, have a look at the source code!
As mentioned, this is a Google Chrome experiment. Due to patent issues, the formats of the streaming audio sources will not work in the Firefox browser.
Speaking of the streaming audio sources... those are real live radio stations that you are hearing as you scan through the channels in AM or FM mode.
Hear something you like? Go ahead and save it as a preset by hitting the memory button and then selecting a preset button.
Is it all about that bass? Then turn up that bass dial! Set the treble and balance where you would like it.
The bass/treble and tone defeat functions allow you to customize your sound, or bypass the bass and treble dials altogether
State-of-the-mind soundHarmon Kardon's state-of-the-mind technology is expertly exemplified in the hk590i receiver.
The hk590i offers a full 45 Watts per channel,* with 35 amps of High instantaneous Current Capability (HCC) available under peak demand conditions. With the transient power nearly doubling into 4 Ohms and continuing to increase dramatically into 2 Ohms, the dynamic behavior approaches the ideal.
The tuner section shuts down when the photo or aux buttons are processed to eliminate the possibility of digital switching noise or bleed-through. Switchable bass and treble turnover frequencies allow for custom-tailoring of the tone-control charcteristics to the listening environment. In addition, the hk590i has tone defeat and 2-way tape capability.
The digital synthesized quartz-locked tuning section of the hk590i can be tuned up or down manually, or will scan automatically to the next station. For added convenience, stations may be locked into one of the 8 AM and 8 FM memory presets.
The hk590i. An advancement in affordably accurate audio.
*45 Watts RMS per channel into 8 Ohms, 20Hz-20kHz with less than .08% THD.Specifications
Tuning range: FM, MW
Power output: 45 watts per channel into 8Ω (stereo)
Frequency response: 1Hz to 120kHz
Total harmonic distortion: 0.08%
Input sensitivity: 2.2mV (MM), 135mV (line)
Signal to noise ratio: 80dB (MM), 82dB (line)
Dimensions: 443 x 134 x 365mm
Weight: 8kg
240 Crossway Park West, Woodbury, NY 11797
Toll free 1-800-528-6050, ext. 870


the hair question
Current State: Long hair
Pros:
- Looks better than short hair IMO
- Takes less time to prepare (Effort to Look ratio is great)
- Differentiates me
- Less money spent on haircuts (more efficient for financials)
- Looks slightly better with hats
- Compliments facial hair
Cons:
- When let down, it is impossible to manage
- Gets greasy quite quickly (Discourages working out)
- Is sometimes uncomfortable when in bad bun
- Takes a long time to dry (Discourages working out)
- Extra weight?
- Cumbersome with hoods
- Discourages lying down
- Looks less professional/trustworthy
Alternative: Short hair
Pros:
- Easier to manage
- Would be more comfortable and usable
- Less weight?
- Less time to dry (encourages working out)
- Looks more professional/trustworthy
- Could add height
Cons:
- Doesn’t look as good IMO
- Requires more haircuts
- More time to prepare in the morning
- Doesn’t really compliment the facial hair


We welcome new contributors. The project is still at a very early stage and you can have significant impact. We only ask that you write beautiful code and write tests ;-)
Shop around in our Card Wall to find something that you want to do. Let us know that you are working on this particular task, or update the page with your initials/email next to the task. This way we can keep track of who is working on what.


The Game
Player 1
Porcentaje
Play
Player 2
Porcentaje
Play
Made by. Juan Rios
the winner is:
Ganador
Play again


This page was created by the IDL library routine
mk_html_help
. For more information on
this routine, refer to the IDL Online Help Navigator
or type:
? mk_html_help
at the IDL command line prompt.
Last modified: Tue May 15 16:15:49 2007.
NAME: IP2MAC PURPOSE: Get locals MAC addresses. USAGE: err = ip2mac(ip, MAC=mac, MYIP=myip) INPUT: ip: IP number to analyze (like <IP_ADDRESS>) OUTPUT: err: if 0 all done, if -1 an error was occurred. mac: MAC of local network board passing through (like 00:40:F4:8D:88:44) myip: IP address of local network board (like <IP_ADDRESS>) DEPENDENCIES: eth.py script (PYTHON ver 2.4 or greater, WINDOWS not yet tested)
(See ext_lib\ip2mac.pro)
NAME: OA_FFT PURPOSE: Select and execute the FFT routine between FFTW package if installed or the default one. USAGE: result = OA_FFT(Input, Keywords) INPUT: see FFT IDL documentation. OUTPUT: see FFT IDL documentation. PACKAGE: OAA_LIB HISTORY: Written by Marco Xompero (MX<EMAIL_ADDRESS>27 Apr 2007
(See ext_lib\oa_fft.pro)


I graduated from Reykjavík university
I am interested in all aspects of web development
Eager to learn new things related to computer science as well as any other field
I am interested in making games
Passionate about making music
Interested in all things related to computers and technology


PLOT PURCHASE AGREEMENT DEED
Agreement No :
Plot Seller's Name :
Plot Buyer's Name :
Full Address :
Nominee Name :
Ag.Code :
Plot Area :
Plot Value :
Balance Amount Before Registration :
Advance Paid :
Date of commencement - Closing :
Please keep the Cash Receipt in your Safe Custody. Registration & Stamp fee to be paid by Buyer
Signature of Buyer


The Works of Edgar Allan Poe
by Edgar Allan Poe
The Village Street
Additional Information
- Year Published: 1903
- Language: English
- Country of Origin: United States of America
- Source: Poe, E.A. (1903). The Works of Edgar Allan Poe, The Raven Edition, Volume 5. New York: P. F. Collier and Son.
-
Readability:
- Flesch–Kincaid Level: 3.8
- Word Count: 790
- Genre: Poetry
- Keywords: love, nature
- ✎ Cite This
Downloads
In these rapid, restless shadows,
Once I walked at eventide,
When a gentle, silent maiden,
Walked in beauty at my side
She alone there walked beside me
All in beauty, like a bride.
Pallidly the moon was shining
On the dewy meadows nigh;
On the silvery, silent rivers,
On the mountains far and high
On the ocean's star-lit waters,
Where the winds a-weary die.
Slowly, silently we wandered
From the open cottage door,
Underneath the elm's long branches
To the pavement bending o'er;
Underneath the mossy willow
And the dying sycamore.
With the myriad stars in beauty
All bedight, the heavens were seen,
Radiant hopes were bright around me,
Like the light of stars serene;
Like the mellow midnight splendor
Of the Night's irradiate queen.
Audibly the elm-leaves whispered
Peaceful, pleasant melodies,
Like the distant murmured music
Of unquiet, lovely seas:
While the winds were hushed in slumber
In the fragrant flowers and trees.
Wondrous and unwonted beauty
Still adorning all did seem,
While I told my love in fables
'Neath the willows by the stream;
Would the heart have kept unspoken
Love that was its rarest dream!
Instantly away we wandered
In the shadowy twilight tide,
She, the silent, scornful maiden,
Walking calmly at my side,
With a step serene and stately,
All in beauty, all in pride.
Vacantly I walked beside her.
On the earth mine eyes were cast;
Swift and keen there came unto me
Ritter memories of the past
On me, like the rain in Autumn
On the dead leaves, cold and fast.
Underneath the elms we parted,
By the lowly cottage door;
One brief word alone was uttered
Never on our lips before;
And away I walked forlornly,
Broken-hearted evermore.
Slowly, silently I loitered,
Homeward, in the night, alone;
Sudden anguish bound my spirit,
That my youth had never known;
Wild unrest, like that which cometh
When the Night's first dream hath flown.
Now, to me the elm-leaves whisper
Mad, discordant melodies,
And keen melodies like shadows
Haunt the moaning willow trees,
And the sycamores with laughter
Mock me in the nightly breeze.
Sad and pale the Autumn moonlight
Through the sighing foliage streams;
And each morning, midnight shadow,
Shadow of my sorrow seems;
Strive, O heart, forget thine idol!
And, O soul, forget thy dreams!


It contains number-theoretic algorithms.
ll pow_mod(ll x, ll n, int m)
It returns $x^n \bmod m$.
Constraints
Complexity
ll inv_mod(ll x, ll m)
It returns an integer $y$ such that $0 \le y < m$ and $xy \equiv 1 \pmod m$.
Constraints
Complexity
pair<ll, ll> crt(vector<ll> r, vector<ll> m)
Given two arrays $r,m$ with length $n$, it solves the modular equation system
$$x \equiv r[i] \pmod{m[i]}, \forall i \in \lbrace 0,1,\cdots, n - 1 \rbrace.$$
If there is no solution, it returns $(0, 0)$. Otherwise, all the solutions can be written as the form $x \equiv y \pmod z$, using integers $y, z$ $(0 \leq y < z = \mathrm{lcm}(m[i]))$. It returns this $(y, z)$ as a pair. If $n=0$, it returns $(0, 1)$.
Constraints
ll
.Complexity
ll floor_sum(ll n, ll m, ll a, ll b)
It returns $\sum_{i = 0}^{n - 1} \mathrm{floor}(\frac{a \times i + b}{m})$.
Constraints
Complexity


130
My Soul Waits for the LORD
A SONG OF ASCENTS.
1 Out of the depths I cry to you, O LORD!
2 O Lord, hear my voice!
Let your ears be attentive
to the voice of my pleas for mercy!
3 If you, O LORD, should mark iniquities,
O Lord, who could stand?
4 But with you there is forgiveness,
that you may be feared.
5 I wait for the LORD, my soul waits,
and in his word I hope;
6 my soul waits for the Lord
more than watchmen for the morning,
more than watchmen for the morning.
7 O Israel, hope in the LORD!
For with the LORD there is steadfast love,
and with him is plentiful redemption.
8 And he will redeem Israel
from all his iniquities.


☰
Date A Live: Spirit Pledge Toolbox
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Guides
Daily Date
Tools
Live2D V3 Viewer
Favorites
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Available Route(s):
Option(s):
Loading Assets...
Click here if stuck


JavaScript is disabled.
I apologize. JavaScript is necessary to view this site.
It was too hard to create a non-JavaScript web application.


About TeamDirt
Who we are?
Team Dirt is a mountain bike club and chapter of the IMBA. It was originally founded as a bike racing team in the Corvallis Oregon area. Since that time, it has grown into an organization advocating for all biking activity in the Benton County area. Team Dirt supports urban (Pump Track, BMX bike park, bike paths, and community events), as well as, traditional off road riding (XC, All Mountain, and DH/Gravity).
Team Dirt is a 501(c)(3) non-profit community organization. The club is open to all riders, regardless of riding or building skill. Team Dirt is primarily focused on building and maintaining sustainable trails, suitable for mountain bikers, but often open for multi-purpose use. The club hosts many trail build events throughout the year, in addition too, shared build events with local IMBA chapters. Fundraising is performed via sponsorship, member donations, and a few shuttle days every year at Alsea Falls.
Contact Information
| Name | Position | Description | ||
|---|---|---|---|---|
| Jenna Berman | Chair | Jenna is the Team Dirt Chair. She moved back to Oregon in 2016 after 10 years in Colorado where she worked for Bicycle Colorado doing state-level bicycle advocacy and education. |<EMAIL_ADDRESS>| |
| Wayne Clark | Board Member | Wayne is the former Chair and Vice Chair. He lends a wealth of knowledge from experience with other boards and specifically advises Team Dirt on insurance matters. |<EMAIL_ADDRESS>| |
| Daniel Coyle | McDonald / Starker Region Coordinator | Dan oversees trailbuilding in the local McDonald and Starker forests. Dan does it all - planning/designing trails, training volunteers and even organizing mountain bike camps for youth. Dan is a 25 year resident of Corvallis. |<EMAIL_ADDRESS>| |
| Rajesh (Raj) Injety | Social Ride Coordinator | Raj is the Team Dirt social ride coordinator, striving for seasonal community rides that span all ranges of abilities. With many years of experience as a bike mechanic at Bike N' Hike, he brings bike industry experience. |<EMAIL_ADDRESS>| |
| Trey Jackson | Secretary / OSU Liaison | Trey keeps the board meetings moving along as Secretary - keeping the group on track, taking care of all the administrative details, and providing key technical support for Team Dirt. In his free time, he rides his bikes until they break. |<EMAIL_ADDRESS>| |
| Keith Leavitt | Social Chair | Keith is Team Dirt’s “cruise director”. He plans extra-curricular and off-the-bike social events, building community, and boosting cohesiveness and stoke in the Corvallis-area mountain bike community. |<EMAIL_ADDRESS>| |
| Ben Leland | Treasurer | Ben is Team Dirt's Treasurer, helping to manage funds for trailbuild projects, fundraising efforts, and donations. In his free time, he loves to get out in the woods and make rad trails! |<EMAIL_ADDRESS>| |
| Aaron Turner | Alsea Falls Region Coordinator | Aaron is the Alsea Falls Region Coordinator as of Fall 2021. He helps to facilitate build days, shuttle events, and works directly with partners to foster the maintenance and growth of trails in the area. Aaron enjoys building community and keeping the momentum of the Team Dirt mission moving forward. |<EMAIL_ADDRESS>| |
| Jenny Wu | Vice Chair | Jenny is the current Vice Chair and the former Treasurer. She is currently focused on website and membership activities and has been riding socially in Corvallis for over 19 years. |<EMAIL_ADDRESS>|
Mailing Address
TEAM DIRT, A CHAPTER OF IMBA
922 NW Circle Blvd Ste 160 PMB 242
Corvallis, Oregon 97330-1483
Tax ID (EIN#)
45-5199840
Becoming a Sponsor
If you would like to help support Team Dirt and the local Mountain Biking community, please contact our Treasurer Ben Leland.


| 425 | (A) | Be that Bemys in the burgħe blew appon lowde |
| 427 | (C) | By þat trumpes in þe borwgħ . blewen fułł lowde |
| 427 | (D) | By þat biernes in þe borow blewyn wel lowde |
| 423 | (E) | Sone after trumpours in þe town . blewyn wol lowde . |
| (Ex) | ---- no text ---- | |
| 440 | (L) | by þat bemys on þe burwe blowen ful loude |
| 408 | (P) | Bot þe bemes in þe burgh blowen on loude |
| 421 | (U) | By that bemes in the burgħ / blewen ful loude |
| (V) | ---- no text ---- |


This section is meant to provide a hierarchical overview of the various library components and their interaction. The subsections then provide the API details associated with each component.
The main concepts and classes exposed by the Compute part of the API are:
The data side of the Pilot API is symmetric to the compute side. The exposed classes for managing Pilot Data are:
The application workload is represented by so called ComputeUnits and DataUnits:
Both Compute and Data Units are specified using an abstract description object:
The ComputeDataService represents the central entry point for the application workload:
The PilotComputeService (PCS) is a factory for creating Pilot-Compute objects, where the latter is the individual handle to the resource. The PCS takes the COORDINATION_URL (as defined above) as an argument. This is for coordination of the compute units with the redis database.
The PCD defines the compute resource in which you will be running on and different attributes required for managing jobs on that resource. Recall that a Pilot-Job requests resources required to run all of the jobs. There can be any number of Pilot-Computes instantiated depending on the compute resources available to the application (using two machines rather than 1 requires 2 pilot compute descriptions).
An example of a Pilot Compute Description is shown below:
pilot_compute_description = {
"service_url": 'pbs+ssh://india.futuregrid.org',
"number_of_processes": 8,
"processes_per_node":8,
"working_directory": "/N/u/<username>",
'affinity_datacenter_label': "us-east-indiana",
'affinity_machine_label': "india"
}
The data center label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
The machine (resource) label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
Controls the location of the Pilot-Agent standard output file.
| type: | string |
|---|
Controls the location of the Pilot-Agent standard error file.
| type: | string |
|---|
The number of cores that need to be allocated to run the jobs.
| type: | string |
|---|
The number of cores per node.
This argument does not actually limit the number of processes that can run on a node but specifies the order in which processes are assigned to nodes. You can think of -ppn 2 as repeating each line of the $PBS_NODEFILE 2 times.
| type: | string Note This field is required by some XSEDE/Torque clusters. If you have to specify ppn when running an MPI job on command line, then you must likely need this field in your BigJob script. |
|---|
The project allocation, if running on an XSEDE resource.
| type: | string Note This field must be removed if you are running somewhere that does not require an allocation. |
|---|
The job queue to be used.
| type: | string Note If you are not submitting to a batch queuing system, remove this parameter. |
|---|
Specifies the SAGA-Python job adaptor (often this is based on the batch queuing system) and resource hostname (for instance, lonestar.tacc.utexas.edu) on which jobs can be executed.
| type: | string Note For remote hosts, password-less login must be enabled. |
|---|
The number of minutes the resources are requested for
| type: | string |
|---|
The directory in which the Pilot-Job agent executes
| type: | string |
|---|
A pilot job, which can execute some compute workload (ComputeUnit).
This is the object that is returned by the PilotComputeService when a new PilotCompute is created based on a PilotComputeDescription.
The PilotCompute object can be used by the application to keep track of active pilots.
A PilotCompute has state, can be queried, and cancelled.
The PilotDataService (PDS) is a factory for creating Pilot-Data objects. The PDS takes the COORDINATION_URL as an argument. This is for coordination of the data units with the redis database.
PilotDataDescription objects are used to describe the requirements for a PilotData instance. Currently, the only generic property that can be set is size, all other properties are backend-specific security / authentication hints. Example:
PilotDataDescription pdd()
pdd.size = 100
data_pilot = service.create_pilot(pdd)
The storage space required (in Megabyte) on the storage resource.
| Type : | int |
|---|
Note
The ‘size’ attribute is not supported by all PilotData backends.
The SSH private key – this is required by some systems by the Pilot-Data in order to ensure that the SSH service can be accessed from worker nodes.
| Type : | string |
|---|
Note
‘userkey’ is only supported by backends where worker nodes need private key access. An example of this is OSG.
The ‘username’ for Amazon AWS compliant instances. It is an alphanumeric text string that uniquely identifies a user who owns an account. No two accounts can have the same access key.
| Type : | string |
|---|
Note
‘access_key_id’ is only supported by AWS complaint EC2 based connections. This applies to Amazon AWS, Eucalpytus, and OpenStack. Please see Amazon’s documentation to learn how to obtain your access key id and password.
The ‘password’ for Amazon AWS compliant instances. It’s called secret because it is assumed to be known to the owner only.
| Type : | string |
|---|
Note
‘secret_access_key’ is only supported by AWS complaint EC2 based connections. This applies to Amazon AWS, Eucalpytus, and OpenStack. Please see Amazon’s documentation to learn how to obtain your access key id and password.
Specifies the file adaptor and resource hostname on which a Pilot-Data will be created.
| Type : | string |
|---|
A Pilot-Data, which can store some data (DataUnit).
This is the object that is returned by the PilotDataService when a new PilotData is created based on a PilotDataDescription.
The PilotData object can be used by the application to keep track of active pilots.
The Compute Data Service is created to handle both Pilot Compute and Pilot Data entities in a holistic way. It represents the central entry point for the application workload. The CDS takes care of the placement of Compute and Data Units. The set of Pilot Computes and Pilot Data available to the CDS can be changed during the application’s runtime. The CDS handles different data-compute affinity and will handle compute/data co-locating for the requested data-compute workload.
The ComputeUnitDescription defines the actual compute unit will be run. The executable specified here is what constitutes the individual jobs that will run within the Pilot. This executable can have input arguments or environment variables that must be passed with it in order for it to execute properly.
Example:
compute_unit_description = {
"executable": "/bin/cat",
"arguments": ["test.txt"],
"number_of_processes": 1,
"output": "stdout.txt",
"error": "stderr.txt",
"input_data" : [data_unit.get_url()], # this stages the content of the data unit to the working directory of the compute unit
"affinity_datacenter_label": "eu-de-south",
"affinity_machine_label": "mymachine-1"
}
Specifies the path to the executable that will be run
type: string
Specifies any arguments that the executable needs. For instance, if running an executable from the command line requires a -p flag, then this -p flag can be added in this section.
type: string
Specifies any environment variables that need to be passed with the compute unit in order for the executable to work.
type: string
The working directory for the executable
type: string
Note
Recommendation: Do not set the working directory! If none, working directory is a sandbox directory of the CU (automatically created by BigJob)
Specifies the capture of <stdin>
type: string
Specifies the name of the file who captures the output from <stdout>. Default is stdout.txt
type: string
Specifies the name of the file who captures the output from <stderr>. Default is stderr.txt
type: string
Defines how many CPU cores are reserved for the application process.
For instance, if you need 4 cores for 1 MPI executable, this value would be 4.
type: string
Defines how the application process is launched. Valid strings for this field are ‘single’ or ‘mpi’. If your executable is a.out, “single” executes it as ./a.out, while “mpi” executes mpirun -np <number_of_processes> ./a.out (note: aprun is used for Kraken, and srun/ibrun is used for Stampede).
type: string
Specifies the input data flow for a ComputeUnit. This is used in conjunction with PilotData. The format is [<data unit url>, … ]
type: string
Specifies the output data flow for a ComputeUnit. This is used in conjunction with PilotData. The format is [<data unit url>, … ]
type: string
The data center label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
The machine (resource) label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
ComputeUnitDescription objects are loosely typed. A dictionary containing the respective keys can be passed instead to the ComputeDataService.
A ComputeUnit is a work item executed by a PilotCompute. These are what constitute the individual jobs that will run within the Pilot. Oftentimes, this will be an executable, which can have input arguments or environment variables.
A ComputeUnit is the object that is returned by the ComputeDataService when a new ComputeUnit is submitted based on a ComputeUnitDescription. The ComputeUnit object can be used by the application to keep track of ComputeUnits that are active.
A ComputeUnit has state, can be queried, and can be cancelled.
The data unit description defines the different files to be moved around. There is currently no support for directories.
data_unit_description = {
'file_urls': [file1, file2, file3]
}
| type: | string |
|---|
The data center label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
The machine (resource) label used for affinity topology.
| type: | string Note Data centers and machines are organized in a logical topology tree (similar to the tree spawned by an DNS topology). The further the distance between two resources, the smaller their affinity. |
|---|
A DataUnit is a container for a logical group of data that is often accessed together or comprises a larger set of data; e.g. a data file or chunk.
A DataUnit is the object that is returned by the ComputeDataService when a new DataUnit is submitted based on a DataUnitDescription. The DataUnit object can be used by the application to keep track of DataUnits that are active.
A DataUnit has state, can be queried, and can be cancelled.
Pilots and Compute Units can have state. These states can be queried using the get_state() function. States are used for PilotCompute, PilotData, ComputeUnit, DataUnit and ComputeDataService. The following table describes the values that states can have.
| State |
|
|
|
|
|
|
|


AWS::RAM::ResourceShare
Specifies a resource share.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::RAM::ResourceShare", "Properties" : { "AllowExternalPrincipals" :
Boolean
, "Name" :String
, "PermissionArns" :[ String, ... ]
, "Principals" :[ String, ... ]
, "ResourceArns" :[ String, ... ]
, "Tags" :[ Tag, ... ]
} }
YAML
Type: AWS::RAM::ResourceShare Properties: AllowExternalPrincipals:
Boolean
Name:String
PermissionArns:- String
Principals:- String
ResourceArns:- String
Tags:- Tag
Properties
AllowExternalPrincipals
-
Specifies whether principals outside your organization in AWS Organizations can be associated with a resource share. A value of
true
lets you share with individual AWS accounts that are not in your organization. A value offalse
only has meaning if your account is a member of an AWS Organization. The default value istrue
.Required: No
Type: Boolean
Update requires: No interruption
Name
-
Specifies the name of the resource share.
Required: Yes
Type: String
Update requires: No interruption
PermissionArns
-
Specifies the Amazon Resource Names (ARNs) of the AWS RAM permission to associate with the resource share. If you do not specify an ARN for the permission, AWS RAM automatically attaches the default version of the permission for each resource type. You can associate only one permission with each resource type included in the resource share.
Required: No
Type: List of String
Update requires: No interruption
Principals
-
Specifies a list of one or more principals to associate with the resource share.
You can include the following values:
-
An AWS account ID, for example:
123456789012
-
An Amazon Resoure Name (ARN) of an organization in AWS Organizations, for example:
arn:aws:organizations::123456789012:organization/o-exampleorgid
-
An ARN of an organizational unit (OU) in AWS Organizations, for example:
arn:aws:organizations::123456789012:ou/o-exampleorgid/ou-examplerootid-exampleouid123
-
An ARN of an IAM role, for example:
arn:aws:iam::123456789012:role/rolename
-
An ARN of an IAM user, for example:
arn:aws:iam::123456789012user/username
Note Not all resource types can be shared with IAM roles and users. For more information, see Sharing with IAM roles and users in the AWS Resource Access Manager User Guide.
Required: No
Type: List of String
Update requires: No interruption
-
ResourceArns
-
Specifies a list of one or more ARNs of the resources to associate with the resource share.
Required: No
Type: List of String
Update requires: No interruption
Tags
-
Specifies one or more tags to attach to the resource share itself. It doesn't attach the tags to the resources associated with the resource share.
Required: No
Type: List of Tag
Update requires: No interruption
Return values
Ref
When you pass the logical ID of this resource to the intrinsic Ref
function, Ref
returns the ID of the resource share.
For more information about using the Ref
function, see Ref.
Fn::GetAtt
The Fn::GetAtt
intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt
intrinsic function, see Fn::GetAtt.
Examples
Creating a Resource Share
The following example demonstrates how to create a resource share.
YAML
AWSTemplateFormatVersion: 2010-09-09 Resources: myresourceshare: Type: "AWS::RAM::ResourceShare" Properties: Name: "My Resource Share" ResourceArns: - "arn:aws:ec2:us-east-1:123456789012:resource-type/12345678-1234-1234-1234-12345678" Principals: - "210987654321" Tags: - Key: "Key1" Value: "Value1" - Key: "Key2" Value: "Value2"
JSON
{ "AWSTemplateFormatVersion": "2010-09-09T00:00:00.000Z", "Resources": { "myresourceshare": { "Type": "AWS::RAM::ResourceShare", "Properties": { "Name": "My Resource Share", "ResourceArns": [ "arn:aws:ec2:us-east-1:123456789012:resource-type/12345678-1234-1234-1234-12345678" ], "Principals": [ "210987654321" ], "Tags": [ { "Key": "Key1", "Value": "Value1" }, { "Key": "Key2", "Value": "Value2" } ] } } } }
See also
-
CreateResourceShare in the AWS Resource Access Manager API Reference


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